Semi-supervised Domain Adaptation

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 56 papers with code (133 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
  8 Jun 2021 6 repositories listed Syntology ran 8 of 20 samples · 12 unverified · 9 pointer-only (licence)
  We extend semi-supervised learning to the problem of domain adaptation to learn significantly higher-accuracy models that train on one data distribution and test on a different one.
• Semi-supervised Domain Adaptation via Minimax Entropy
  13 Apr 2019 5 repositories listed Syntology ran 5 of 24 samples · 19 unverified · 2 pointer-only (licence)
  Contemporary domain adaptation methods are very effective at aligning feature distributions of source and target domains without any target supervision.
• Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
  19 Apr 2021 3 repositories listed Syntology ran 7 of 9 samples · 2 unverified · 9 pointer-only (licence)
  Pseudo labeling expands the number of ``labeled" samples in each class in the target domain, and thus produces a more robust and powerful cluster core for each class to facilitate adversarial learning.
• Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
  18 Jan 2021 3 repositories listed
  Domain adaptation is an important task to enable learning when labels are scarce.
• Reducing Domain Gap by Reducing Style Bias
  25 Oct 2019 3 repositories listed
  Convolutional Neural Networks (CNNs) often fail to maintain their performance when they confront new test domains, which is known as the problem of domain shift.
• Probabilistic Contrastive Learning for Domain Adaptation
  11 Nov 2021 2 repositories listed
  However, it is undesirably observed that the standard contrastive paradigm (features+ℓ₂ normalization) only brings little help for domain adaptation.
• Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
  18 Jul 2020 2 repositories listed
  Finally, the exploration scheme locally aligns features in a class-wise manner complementary to the attraction scheme by selectively aligning unlabeled target features complementary to the perturbation scheme.
• Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
  8 Oct 2019 2 repositories listed
  Semi-Supervised Domain Adaptation: For this task, we adopt a standard self-learning framework to construct a classifier based on the labeled source and target data, and generate the pseudo labels for unlabeled target…
• RoHan: Robust Hand Detection in Operation Room
  14 Jan 2025 1 repository listed
  To overcome these challenges, we present "RoHan" - a novel approach for robust hand detection in the OR, leveraging advanced semi-supervised domain adaptation techniques to tackle the challenges of varying recording…
• GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
  9 Oct 2024 1 repository listed
  Unsupervised and Semi-supervised Domain Adaptation (UDA and SSDA) have demonstrated efficiency in addressing this issue by utilizing pre-labeled source data to train on unlabeled or partially labeled target data.
• Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
  22 Jul 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  This approach helps existing SemiSDA methods to adapt the model with a balanced supervised signal by utilizing latent defending samples throughout the adaptation process.
• Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
  20 Jun 2024 1 repository listed
  Such a setting is denoted as Semi-Supervised Heterogeneous Domain Adaptation (SSHDA) and it exhibits an even more severe distribution shift due to modality heterogeneity across domains.
• Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
  17 Jun 2024 1 repository listed
  TODA efficiently utilizes all available data, including labeled data in the source domain, and both labeled data and unlabeled data in the target domain to enhance domain adaptation performance.
• DALLMi: Domain Adaption for LLM-based Multi-label Classifier
  3 May 2024 1 repository listed
  In this paper, we design DALLMi, Domain Adaptation Large Language Model interpolator, a first-of-its-kind semi-supervised domain adaptation method for text data models based on LLMs, specifically BERT.
• Semi-Supervised Domain Adaptation for Wildfire Detection
  2 Apr 2024 1 repository listed
  In this paper, we propose a novel protocol for wildfire detection, leveraging semi-supervised Domain Adaptation for object detection, accompanied by a corresponding dataset designed for use by both academics and…
• Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
  24 Mar 2024 1 repository listed
  Existing semi-supervised domain adaptation (SSDA) models have exhibited impressive performance on the target domain by effectively utilizing few labeled target samples per class (e.
• Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
  17 Mar 2024 1 repository listed
  UniSSDA is at the intersection of Universal Domain Adaptation (UniDA) and Semi-Supervised Domain Adaptation (SSDA): the UniDA setting does not allow for fine-grained categorization of target private classes not…
• Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
  14 Sep 2023 1 repository listed
  To this end, semi-supervised domain adaptation (SSDA) on graphs aims to leverage the knowledge of a labeled source graph to aid in node classification on a target graph with limited labels.
• Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
  31 Jul 2023 1 repository listed
  However, the unreliability of pseudo labels can hinder the capability of self-training techniques to induce abstract representation from the unlabeled target dataset, especially in the case of large distribution gaps.
• Divide and Adapt: Active Domain Adaptation via Customized Learning
  21 Jul 2023 1 repository listed
  To accommodate active learning and domain adaption, the two naturally different tasks, in a collaborative framework, we advocate that a customized learning strategy for the target data is the key to the success of ADA…
• Causality-oriented robustness: exploiting general noise interventions
  18 Jul 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  In a linear setting, we prove that DRIG yields predictions that are robust among a data-dependent class of distribution shifts.
• Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning
  6 Jul 2023 1 repository listed
  In this work, we investigate relatively less explored semi-supervised domain adaptation (SSDA) for medical image segmentation, where access to a few labeled target samples can improve the adaptation performance…
• Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
  4 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  At the inter-domain level, we propose a cross-domain alignment loss to help the model use the target prototype for cross-domain knowledge transfer.
• Semi-Supervised Domain Adaptation with Source Label Adaptation
  5 Feb 2023 1 repository listed
  Semi-Supervised Domain Adaptation (SSDA) involves learning to classify unseen target data with a few labeled and lots of unlabeled target data, along with many labeled source data from a related domain.
• DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
  3 Feb 2023 1 repository listed
  This algorithm performs semi-supervised domain adaptation and can be applied to datasets with different data distributions and class overlaps.
• MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
  18 Jan 2023 1 repository listed
  Unsupervised domain adaption has been widely adopted in tasks with scarce annotated data.
• SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
  6 Dec 2022 1 repository listed
  However, these UDA solutions just yield unsatisfactory 3D detection results when there is a severe domain shift, e.
• Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
  22 Nov 2022 1 repository listed
  Here, we propose a novel framework, Pred&Guide, which leverages the inconsistency between the predicted and the actual class labels of the few labeled target examples to effectively guide the domain adaptation in a…
• Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
  1 Nov 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  For the first time, we demonstrate the successful use of domain adaptation on two very different observational datasets (from SDSS and DECaLS).
• Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
  2 Oct 2022 1 repository listed
  Low cost air quality sensors are easy to deploy but are not as reliable as the costly and bulky reference monitors.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.